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    • 4. 发明授权
    • Automatically triggering predictions in recommendation systems based on an activity-probability threshold
    • 基于活动概率阈值自动触发推荐系统中的预测
    • US08732097B2
    • 2014-05-20
    • US13402751
    • 2012-02-22
    • Rui ZhangKurt E. PartridgeRobert R. PriceJames M. A. BegoleMaurice K. Chu
    • Rui ZhangKurt E. PartridgeRobert R. PriceJames M. A. BegoleMaurice K. Chu
    • G06F15/18
    • G06Q10/04G06Q30/02
    • A recommender system determines a probability threshold for an activity-prediction model, and uses the probability threshold to predict whether a user is performing a target activity. To determine the probability threshold, the system computes a set of activity probabilities based on contextual information for a set of historical activities, and based on an activity-prediction model for a target activity. The system then compares a set of probability thresholds with the set of activity probabilities to determine a prediction success rate for each probability threshold. The system computes a utility score for each probability threshold based on the prediction success rates and a utility function, and selects a probability threshold whose utility score is optimal amongst the utility scores of the set of thresholds and greater than or equal to a baseline utility score. The system then assigns the probability threshold to the activity-prediction model.
    • 推荐系统确定活动预测模型的概率阈值,并使用概率阈值来预测用户是否正在执行目标活动。 为了确定概率阈值,系统基于一组历史活动的上下文信息,并且基于目标活动的活动预测模型来计算一组活动概率。 然后,系统将一组概率阈值与活动概率集合进行比较,以确定每个概率阈值的预测成功率。 该系统基于预测成功率和效用函数来计算每个概率阈值的效用得分,并且选择一个概率阈值,其效用评分在阈值集合的效用评分之间是最佳的,并且大于或等于基准效用得分 。 系统然后将概率阈值分配给活动预测模型。
    • 6. 发明授权
    • Link target accuracy in touch-screen mobile devices by layout adjustment
    • 触摸屏移动设备的目标准确度通过布局调整来实现
    • US08294669B2
    • 2012-10-23
    • US11986177
    • 2007-11-19
    • Kurt E. PartridgeMark W. NewmanJames M. A. Begole
    • Kurt E. PartridgeMark W. NewmanJames M. A. Begole
    • G06F3/033
    • G06F3/04883
    • One embodiment of the present invention provides a system for improving link target accuracy for a mobile browser with a touch-screen display. The system receives a page with a plurality of selectable text objects and adjusts the page layout. The method further includes placing a number of targets within the web page. Each target is associated with one selectable text object, and the selectable text object can only be activated by the target. The targets are sufficiently separated from each other, thus allowing a user to hold the touch-screen display and select the selectable text object by tapping on the target with substantial accuracy. Another embodiment of the present invention allows a user to select a selectable text object by performing a gesture.
    • 本发明的一个实施例提供了一种用于利用触摸屏显示来改善移动浏览器的链接目标精度的系统。 系统接收具有多个可选文本对象的页面并调整页面布局。 该方法还包括将许多目标放置在网页内。 每个目标与一个可选择的文本对象相关联,并且可选文本对象只能由目标激活。 目标彼此充分分离,从而允许用户握住触摸屏显示并且以相当高的精度点击目标来选择可选择的文本对象。 本发明的另一实施例允许用户通过执行手势来选择可选择的文本对象。
    • 10. 发明申请
    • DISTRIBUTED SYSTEM AND METHODS FOR MODELING POPULATION-CENTRIC ACTIVITIES
    • 分布式系统和建模人口中心活动的方法
    • US20130254152A1
    • 2013-09-26
    • US13429139
    • 2012-03-23
    • Rui ZhangMaurice Kyojin ChuKurt E. PartridgeJames M. A. Begole
    • Rui ZhangMaurice Kyojin ChuKurt E. PartridgeJames M. A. Begole
    • G06N5/02G06F15/16
    • G06Q30/0631G06N20/00G06Q30/0201
    • A client device can receive information about a population to which a user belongs. During operation, the client device determines information about a user, determines a group identifier for the user, and communicates the determined information about the local user and the group identifier to a group-modeling server. The client device then receives a group-activity model that corresponds to the group identifier, and generates a user-activity model for the local user based on the group-activity model and the determined information about the local user. The client device uses the user-activity model to compute an activity probability for a corresponding target activity. The group-modeling server receives user information from a plurality of client devices of a group, and generates a group-activity model for the group based on the user information. The server then sends the group-activity model to users of the identified group.
    • 客户端设备可以接收有关用户所属的群体的信息。 在操作期间,客户端设备确定关于用户的信息,确定用户的组标识符,并将确定的关于本地用户和组标识符的信息传送到组建模服务器。 然后,客户端设备接收与组标识符相对应的组活动模型,并且基于组活动模型和所确定的关于本地用户的信息为本地用户生成用户活动模型。 客户端设备使用用户活动模型来计算相应目标活动的活动概率。 组建模服务器从组的多个客户端设备接收用户信息,并且基于用户信息生成组的组活动模型。 然后,服务器将组活动模型发送给所识别组的用户。